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001442699 001__ 1442699
001442699 003__ OCoLC
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001442699 0247_ $$a10.1007/978-981-16-6210-2$$2doi
001442699 035__ $$aSP(OCoLC)1285361996
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001442699 050_4 $$aS494.5.D3$$bI58 2022eb
001442699 08204 $$a630.2/08563$$223
001442699 24500 $$aInternet of Things and analytics for agriculture.$$nVolume 3 /$$cPrasant Kumar Pattnaik, Raghvendra Kumar, Souvik Pal, editors.
001442699 260__ $$aSingapore :$$bSpringer,$$c[2022]
001442699 300__ $$a1 online resource
001442699 336__ $$atext$$btxt$$2rdacontent
001442699 337__ $$acomputer$$bc$$2rdamedia
001442699 338__ $$aonline resource$$bcr$$2rdacarrier
001442699 347__ $$atext file
001442699 347__ $$bPDF
001442699 4901_ $$aStudies in big data,$$x2197-6511 ;$$vv. 99
001442699 5050_ $$aIoT: Foundations and Applications -- Functional Framework for IoT-based agricultural system -- Field monitoring and automation system -- Agriculture Sensor Network: Infrastructure, protocols and standards -- Implementation of sensors and RFID for disease and pest control -- Sensor-based Precision agriculture, Sensor data acquisition.
001442699 506__ $$aAccess limited to authorized users.
001442699 520__ $$aThe book discusses one of the major challenges in agriculture which is delivery of cultivate produce to the end consumers with best possible price and quality. Currently all over the world, it is found that around 50% of the farm produce never reaches the end consumer due to wastage and suboptimal prices. The authors present solutions to reduce the transport cost, predictability of prices on the past data analytics and the current market conditions, and number of middle hops and agents between the farmer and the end consumer using IoT-based solutions. Again, the demand by consumption of agricultural products could be predicted quantitatively; however, the variation of harvest and production by the change of farm's cultivated area, weather change, disease and insect damage, etc., could be difficult to be predicted, so that the supply and demand of agricultural products has not been controlled properly. To overcome, this edited book designed the IoT-based monitoring system to analyze crop environment and the method to improve the efficiency of decision making by analyzing harvest statistics. The book is also useful for academicians working in the areas of climate changes.
001442699 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 18, 2021).
001442699 650_0 $$aArtificial intelligence$$xAgricultural applications.
001442699 650_0 $$aInternet of things.
001442699 650_6 $$aIntelligence artificielle$$xApplications agricoles.
001442699 650_6 $$aInternet des objets.
001442699 655_0 $$aElectronic books.
001442699 7001_ $$aPattnaik, Prasant Kumar,$$d1969-$$eeditor.
001442699 7001_ $$aKumar, Raghvendra,$$d1987-$$eeditor.
001442699 7001_ $$aPal, Souvik,$$eeditor.
001442699 77608 $$iPrint version:$$tInternet of Things and analytics for agriculture. Volume 3.$$dSingapore : Springer, [2022]$$z9811662096$$z9789811662096$$w(OCoLC)1264136634
001442699 830_0 $$aStudies in big data ;$$vv. 99.$$x2197-6511
001442699 852__ $$bebk
001442699 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-6210-2$$zOnline Access$$91397441.1
001442699 909CO $$ooai:library.usi.edu:1442699$$pGLOBAL_SET
001442699 980__ $$aBIB
001442699 980__ $$aEBOOK
001442699 982__ $$aEbook
001442699 983__ $$aOnline
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